IS

Khoumbati, Khalil

Topic Weight Topic Terms
0.135 approach analysis application approaches new used paper methodology simulation traditional techniques systems process based using
0.133 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences
0.122 structure integration complex business enhancement effects access extent analyzing volatile capture requires occurs pattern enables
0.121 health healthcare medical care patient patients hospital hospitals hit health-care telemedicine systems records clinical practices

Focal Researcher     Coauthors of Focal Researcher (1st degree)     Coauthors of Coauthors (2nd degree)

Note: click on a node to go to a researcher's profile page. Drag a node to reallocate. Number on the edge is the number of co-authorships.

Irani, Zahir 1 Themistocleous, Marinos 1
enterprise application integration 1 health-care organization 1 information system adoption 1 information system evaluation 1

Articles (1)

Evaluating the Adoption of Enterprise Application Integration in Health-Care Organizations. (Journal of Management Information Systems, 2006)
Authors: Abstract:
    The integration of heterogeneous information systems has always been problematic in health-care organizations, as it is associated with the delivery of key services and has high operational costs. Therefore, health-care organizations are looking for new means to increase their functional capabilities and reduce integration cost. In addressing this need, enterprise application integration (EAI) technology has emerged to facilitate systems integration, enhance the quality of services, and reduce integration costs. Despite the application of EAI in other sectors, its adoption in health care is slow. In seeking to build on the limited normative research surrounding EAI, the authors of this paper focus on the evaluation of factors that influence EAI adoption in the health-care sector. In doing so, using fuzzy cognitive mapping as a technique to identify causal interrelationships among the EAI adoption factors. This approach will enhance the quality of the evaluation process and emphasizes the importance of each factor and its interrelationship with other factors. The outcomes shown in this paper will support health-care organizations' decision makers in exploring the implications surrounding EAI adoption.